Kelly The AI-Driven Data Team

Improve Your Analytics with AI
1. Auflage 2026
ISBN: 978-1-3986-2758-1
Verlag: Kogan Page
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 288 Seiten, Accessible EPUB

Rapidly transform your analytics teams to deliver AI-driven insights. The AI-Driven Data Team by Nicholas Kelly is a proven-to-work playbook for data and analytics leaders who want to align analytics capabilities with the demands of an AI-powered business environment. Written for leaders accountable for data, analytics and business intelligence, this book provides tools for diagnosing capability gaps among data analytics teams, modernizing legacy stacks and delivering AI-driven insights to help organizations make better decisions. You'll learn how to: - Diagnose skills gaps and map AI-augmented career paths - Integrate modern AI tools with existing analytics stacks - Launch six revenue-driving and cost-focused pilots in 90 days - Embed governance without slowing innovation - Apply an ROI framework, governance checklist and 90-Day Charter Drawing on expert insights and real-world applications, this book helps you upskill your analysts, strengthen AI governance and provide AI-driven insights that drive real results. Themes include: AI strategy, data governance, analytics leadership, ROI from AI, organizational transformation, executive decision-making

Autoren/Hrsg.

Kelly, Nicholas

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Management Unternehmensorganisation & Entwicklungsstrategien
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Management: Führung & Motivation
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmenskommunikation

Inhaltsverzeichnis

• Section - ONE: Setting the groundwork (days -14 to 0);
• • Chapter - 01: Building the AI-driven data team;
  • Chapter - 02: AI as a force-multiplier;
  • Chapter - 03: Mindset reset;
  • Chapter - 04: Skills and tools matrix;
  • Chapter - 05: Building your AI-ready team;
  • Chapter - 06: Upskill vs. hire vs. outsource;
  • Chapter - 07: Readiness audit;
  • Chapter - 08: The 90-day charter;
• Section - TWO: Sprint 1 – foundations and upskills (days 1 to 30);
• • Chapter - 09: Kill the bottlenecks;
  • Chapter - 10: Coding copilots;
  • Chapter - 11: Analytics engineering reimagined;
  • Chapter - 12: Redesigned workflows;
• Section - THREE: Sprint 2 – six quick-win pilots (days 31 to 60);
• • Chapter - 13: Selecting lighthouse use cases;
  • Chapter - 14: Minimum-viable AI stack;
  • Chapter - 15: Build, buy, or extend;
  • Chapter - 16: Pilot execution playbook;
• Section - FOUR: Sprint 3 – scale and govern (days 61 to 90);
• • Chapter - 17: Lightweight machine learning;
  • Chapter - 18: Plain-English governance;
  • Chapter - 19: Bias, privacy, and security;
  • Chapter - 20: Storytelling that lands – explaining models everyone can trust;
• Section - FIVE: The AI flywheel (day 90+);
• • Chapter - 21: Measuring impact – from hours saved to decision velocity;
  • Chapter - 22: Learning loops and communities;
  • Chapter - 23: The human in the loop;

Über Autor(innen)

Kelly, Nicholas
<p><b>Nicholas Kelly</b> is a principal at Delivering Data Analytics. He is a leader in analytics adoption having designed and developed dashboards for some of the world's largest companies, from global banks to Formula 1 teams. He is a frequent speaker at international conferences, has trained thousands of professionals in data visualization and analytics adoption and is the inventor of the Dashboard Wireframe Kit. He is based in
Bonney Lake, WA.</p>

Nicholas Kelly is a principal at Delivering Data Analytics. He is a leader in data analytics and AI having designed and developed dashboards for some of the world's largest companies, from global banks to Formula 1 teams. He is a frequent speaker at international conferences, has trained thousands of professionals in data analytics and AI adoption. He is the author of Delivering Data Analytics and How to Interpret Data, both published by Kogan Page. He is based in Seattle, WA.